A survey of knowledge‐based sequential decision‐making under uncertainty

Transportation Planning, Climate Change, and Decisionmaking Under Uncertainty

ravel demand forecasting as widely practiced today deals inadequately with uncertainty. Methods currently used to forecast travel at the regional level simplify the world for which they forecast by relying heavily on point estimates. Forecasts are developed through the application of sequences of independent models in which the outputs from one become inputs to others. The current transportatio...

a structural survey of the polish posters

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State estimation under uncertainty: A survey

Large-Scale Planning Under Uncertainty: A Survey

Our research area is planning under uncertainty, that is, making sequences of decisions in the face of imperfect information. We are particularly concerned with developing planning algorithms that perform well in large, real-world domains. This paper is a brief introduction to this area of research, which draws upon results from operations research (Markov decision processes), machine learning ...

Sequential Search and Selection Problem Under Uncertainty

This paper formulates and discusses a series of sequential decision problems of the following common structure: A decision alternative of multiple attributes-that is, a job, an employee, or an investment alternative-is to be selected within a certain fixed length of time. An unknown number of alternatives are presented sequentially, either deterministically or in a random manner. The decision m...